compute_job_creation: Computes job creation, job loss and net job creation
In andremenegatti/cagedExplorer: Tools for Importing and Analyzing Data from CAGED
Description
Usage
Arguments
Details
Value
View source: R/compute_job_creation.R
Description
Computes job creation, job loss and net job creation, given a dataframe with
CAGED micro-data. The input dataframe must have a column named
movimento, whose values take values 1 (job creation) or -1 (job
destruction).
Usage
1
Arguments
df
A dataframe with CAGED micro-data. Must have a movimento
column.
...
Additional variables for aggretated summaries.
Details
Allows for aggregated summaries by passing grouping variables in ...
Value
A dataframe.
andremenegatti/cagedExplorer documentation built on July 1, 2020, 1:25 a.m.
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Description Usage Arguments Details Value
View source: R/compute_job_creation.R
Description
Computes job creation, job loss and net job creation, given a dataframe with
CAGED micro-data. The input dataframe must have a column named
movimento, whose values take values 1 (job creation) or -1 (job
destruction).
Usage
1 |
Arguments
df |
A dataframe with CAGED micro-data. Must have a |
... |
Additional variables for aggretated summaries. |
Details
Allows for aggregated summaries by passing grouping variables in ...
Value
A dataframe.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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